From 0 to 1 Data Structures & Algorithms in Java - The Binary Search Tree - an introduction

The video tutorial introduces binary search trees (BST), a variation of binary trees with additional constraints that allow for fast lookup and insertion operations. It explains the structure of BSTs, where each node can have at most two children, and the left subtree contains nodes with values less than or equal to the node, while the right subtree contains nodes with values greater than the node. An example is provided to illustrate these constraints. The tutorial highlights the efficiency of BSTs in performing operations due to the unambiguous placement of nodes, which ensures fast insertion and lookup processes.

What is a binary search tree and how does it differ from a regular binary tree?

Explain the constraints that define a binary search tree.

Can you provide an example of how a binary search tree is structured with specific values?

How does the structure of a binary search tree facilitate fast insertion and lookup operations?

Describe the process of adding a new node to a binary search tree.

Why is it important that there is exactly one position for every node in a binary search tree?

What happens during a lookup operation in a binary search tree?